Common Voice Scripted Speech 25.0 - Hazargi

haz — Hazargi (haz)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Hazargi [haz - haz]. The dataset contains 8325 clips representing 10.53 hours of recorded speech (10.52 hours validated) from 9 speakers, recorded from a text corpus of 1,361 sentences.

Language

Hazargi is the language of Hazara people who live in Pakistan, Afghanistan, Iran, Europe, Australia and America. It contains 32 alphabets and the script is in Arabic with some additional characters which are Hazargi based.

Demographic information

The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.

Gender

Self-declared gender information. The table shows clip and speaker counts with percentages. Speakers who did not declare a gender are listed as Unspecified. A dash (-) indicates zero.

Gender declared: 0 of 8,325 clips (0.0%), 0 of 9 speakers (0.0%)

Age

Self-declared age information. The table shows clip and speaker counts with percentages. Speakers who did not declare an age are listed as Unspecified. A dash (-) indicates zero.

Age declared: 5,395 of 8,325 clips (64.8%), 5 of 9 speakers (55.6%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 1,355 of 8,319 validated clips (16.3%)

The dataset contains 8319 validated, 1 invalidated, and 5 unresolved clips. The average clip duration is 4.556 seconds.

Text corpus

As mentioned before that there has not been enough work on Hazargi so I tried to gather different books from the people around, arranged them and made the dataset. I gathered some 19 Hazargi books which are in different contexts like poems, folk stories, history and literature, the word count is around 893,112.

Validated sentences: 1,361

The corpus contains 1,361 sentences: 1,361 validated and 0 unvalidated (0 pending review, 0 rejected), with 29 reported for review.

Writing system

The writing system is in Hazargi with an Arabic script that includes some additional Hazargi based characters.

Symbol table

ا ب پ ت ݖ ج چ خ د ۮ ر ز ژ س ش غ ف ق ک گ ل م ن و ۉ ۆ ۂ ی ې ݷ ئ

Sample

There follows a randomly selected sample of five sentences from the corpus.

1. بئل زیمینی خۉد خو مونی موزدوری بېگا سوبا

2. زیندئگی پور جۉب جیرئگۂ زیندئگی

3. مئگئم بېبولغۂ بارۉ شود چی بئد شود

4. دئرئگ تو دیدۂ لاکین گوم ، نۂ مې یی

5. نومودی وجودی

Sources

Text domains

General

Fields

Clips

Each row of a tsv file represents a single audio clip, and contains the following information:

• client_id - hashed UUID of a given user

• path - relative path of the audio file

• text - supposed transcription of the audio

• up_votes - number of people who said audio matches the text

• down_votes - number of people who said audio does not match text

• age - age of the speaker1

• gender - gender of the speaker1

• accents - accents of the speaker1

• variant - variant of the language1

• segment - if sentence belongs to a custom dataset segment, it will be listed here

• prompt_upvotes - number of upvotes the sentence prompt received

• prompt_reports - number of reports the sentence prompt received

• is_edited - whether the clip's transcription has been edited

validated_sentences.tsv

The validated_sentences.tsv file contains one row per validated sentence in the text corpus:

• sentence_id - unique identifier for the sentence

• sentence - the sentence text

• variant - the variant of the language

• sentence_domain - the domain(s) the sentence belongs to

• source - the source the sentence was collected from

• is_used - whether the sentence is still in circulation for recording

• clips_count - number of clips recorded for this sentence

unvalidated_sentences.tsv

The unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:

• sentence_id - unique identifier for the sentence

• sentence - the sentence text

• variant - the variant of the language

• sentence_domain - the domain(s) the sentence belongs to

• source - the source the sentence was collected from

• up_votes - number of upvotes the sentence received

• down_votes - number of downvotes the sentence received

• status - current status of the sentence (pending or rejected)

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

• Speak

• Write

• Listen

• Review

Acknowledgements

Datasheet authors

Mushtaq Mughul Ali Toorani Jawad Khawari Raziq Kohzad Mustafa Elkhani Shawkat shaoor Hussain Ali Yosufi Aziz Fayaz Qadir Nayil Yaseen Zameer Loyaqath Ajiz Manzoor poya T. Malistani Amir Shah Haidri Farhad Zahidi Doc Zaibul Nisa

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

Licence

This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.

Footnotes

1. For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2 ↩3 ↩4